Identification of sedimentary-diagenetic facies and reservoir porosity and permeability prediction: An example from the Eocene beach-bar sandstone in the Dongying Depression, China
Identification of sedimentary-diagenetic facies and reservoir porosity and permeability prediction: An example from the Eocene beach-bar sandstone in the Dongying Depression, China
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沉积-成岩相识别及储层孔渗预测——以东营凹陷始新统滩坝砂岩为例
DOI：
10.1016/j.marpetgeo.2017.02.004
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发表时间：
2017-04
影响因子：
4.2
通讯作者：
Kashif Muhammad
中科院分区：
文献类型：
--
作者：
Wang Jian;Cao Yingchang;Liu Keyu;Liu Jie;Kashif Muhammad
准确预测储层孔隙度和渗透率是勘探油气储量和油气产能的关键。提出了一种新的储层孔隙度和渗透率预测方法，即识别沉积成岩相，利用岩心测量数据确定孔隙度-渗透率趋势，利用测井数据通过贝叶斯判别分析推断沉积成岩相的空间分布，并预测储层孔隙度和渗透率。以渤海湾盆地东营凹陷始新统滩坝砂岩为例，说明了该方法的实质和有效性。始新世滩坝砂岩根据粒度、分选和基质含量可分为细砂岩、粉砂岩和泥质粉砂岩。影响滩坝砂岩孔隙度和渗透率的主要成岩作用有压实作用、碳酸盐胶结作用和长石溶蚀作用。根据滩坝砂岩的岩性类型及其对应的成岩作用和对储层物性的影响程度，确定了滩坝砂岩的7种沉积成岩相。这些沉积成岩相孔隙度和渗透率（log K）的变化范围分别小于6%和1.2。孔隙度和渗透率都与深度有明确的函数关系。利用贝叶斯判别分析和相应的交叉图，可以有效地从测井资料中识别沉积-成岩相。根据7个沉积-成岩相趋势线的分布和拟合方程，对评价井的孔隙度和渗透率（log K）的预测误差分别在±3%和±0.6范围内。预测的沉积成岩相孔隙度和渗透率与实测的孔隙度和渗透率吻合较好。
Accurate prediction of reservoir porosity and permeability is essential for prospecting hydrocarbon reserves and petroleum production capacity. We propose an innovative reservoir porosity and permeability prediction method through identifying sedimentary-diagenetic facies, determining the porosity-permeability trends using core measurement data, extrapolating the spatial distribution of the sedimentary-diagenetic facies using log data through the Bayes discriminant analysis and predicting the reservoir porosity and permeability. The essence of the method was illustrated and its effectiveness was demonstrated using the Eocene beach-bar sandstones in the Dongying Depression, Bohai Bay Basin, eastern China. The Eocene beach bar sandstones are classified into fine sandstone, siltstone, and argillaceous siltstone based on grain sizes, sorting, and matrix contents. The major diagenetic processes that influence the porosity and permeability of the beach-bar sandstones are compaction, carbonate cementation and feldspar dissolution. Seven sedimentary-diagenetic facies were identified in the beach-bar sandstones based on the lithological types, and their corresponding diagenesis and influence extent on reservoir properties. The variation ranges of porosity and permeability (log K) of these sedimentary-diagenetic facies are typically less than 6% and 1.2, respectively. Both the porosity and permeability have well defined functional relationships with depth. The sedimentary-diagenetic facies can be identified effectively from logging data through the use of the Bayes discriminant analysis and corresponding cross-plots. The porosity and permeability (log K) of the well evaluated in the study were predicted with errors in the range of ±3% and ±0.6, respectively, based on the distribution and the fitting equation of the trend lines for the seven sedimentary-diagenetic facies. The predicted porosities and permeability of sedimentary-diagenetic facies match the measured porosities and permeability well.
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影响因子：
1.8
作者：
Wentworth, CK
通讯作者：
Wentworth, CK
影响因子：
2.3
作者：
A. U. Okoro;E. O. Igwe
通讯作者：
A. U. Okoro;E. O. Igwe
DOI：
10.1144/gsl.sp.1992.065.01.30
发表时间：
1992
期刊：
Geological Society, London, Special Publications
影响因子：
--
作者：
R. C. Selley
通讯作者：
R. C. Selley
DOI：
--
发表时间：
1991
期刊：
--
影响因子：
--
作者：
S. Boggs
通讯作者：
S. Boggs
影响因子：
2
作者：
J. McKinley;P. Atkinson;C. Lloyd;A. Ruffell;R. Worden
通讯作者：
J. McKinley;P. Atkinson;C. Lloyd;A. Ruffell;R. Worden